Steam Review Miner — Reputation Drop Diagnostic

What does Steam Review Miner do?

Steam Review Miner tells you whether your game's Steam rating is actively declining right now — and exactly what's driving it. Point it at any Steam App ID and it pulls the game's review history, detects a statistically real reputation drop (not noise from a slow week), and — when it finds one — classifies the negative reviews into concrete categories: bugs/performance, DLC pricing, balance patches, server issues, content complaints, or off-topic controversy. No login, no scraping of private data — just Steam's own public review and histogram endpoints.

Built for developers, publishers, and community managers who want an automated early-warning system instead of manually reading through hundreds of reviews after a bad patch or a rocky launch.

Why use Steam Review Miner?

• Catch a decline before it snowballs. A patch that quietly tanks your rating is easiest to fix in the first 48 hours — most teams don't notice until someone forwards them an angry tweet.
• Skip the "is this actually a problem?" debate. The tool only flags a game when the drop clears a volume-aware statistical bar, and separates a genuine active decline from a past controversy that already recovered (both look the same from a single star-rating glance).
• Know if it's even fixable. "Bugs/performance" and "server issues" are things your team can patch this week. "Off-topic controversy" is a PR conversation, not an engineering ticket — the report tells you which one you're dealing with instead of leaving you to guess from a wall of reviews.
• Check a competitor, not just yourself. Same input, any public App ID — useful for competitive/market research on what's currently sinking a rival title in your genre.

How to use Steam Review Miner

1. Find the Steam App ID for the game you want to check — it's the number in the store URL (store.steampowered.com/app/553850/... → 553850).
2. Click Try for free, paste one or more App IDs into the Steam App IDs field.
3. Click Start and wait — a few seconds per game.
4. Open the Dataset tab to see each game's status, the size of the drop, and (if flagged) the ranked complaint breakdown with a suggested next step for each category.

You can also run it via the Apify API or on a schedule to monitor your own game continuously and get notified the moment a drop starts.

Input

Field	Type	Description
appIds	array of strings	Steam App IDs to check. Required.
reviewSample	integer	How many recent reviews to sample for the complaint breakdown when a game is flagged (default 100, only fetched for flagged games — keeps cost down).

{
  "appIds": ["553850", "2868840"],
  "reviewSample": 100
}

Output

One row per App ID. Example (a real result from a newly-launched game with a rough launch):

{
  "appId": "3787240",
  "name": "MARVEL Tōkon: Fighting Souls",
  "status": "new-release-weak",
  "latestPeriodDate": "2026-08-06",
  "latestPeriodPositivePct": 42.2,
  "baselinePositivePct": 42.2,
  "dropPoints": 0,
  "negativeReviewsSampled": 69,
  "topComplaints": [
    { "bucket": "Bugs/Performance", "count": 30, "pct": 43, "hint": "Real stability issues — prioritize a hotfix; this is the most fixable and most damaging category." },
    { "bucket": "Server/Network", "count": 9, "pct": 13, "hint": "Infrastructure problems — check server capacity/regions, especially around launch-week spikes." }
  ]
}

You can download the dataset in various formats such as JSON, CSV, or Excel.

Data table

Field	Meaning
status	active-decline, new-release-weak, new-release-ok, recovered, stable, or insufficient-data (too few reviews for a reliable signal — common for very small/niche titles)
latestPeriodPositivePct	% positive reviews in the most recent review-volume period
baselinePositivePct	% positive reviews across prior periods, for comparison
dropPoints	baselinePositivePct − latestPeriodPositivePct; only meaningfully computed for active-decline
topComplaints	Ranked complaint categories among sampled negative reviews, only populated for flagged games

Cost estimation

Priced per game analyzed. A single game check costs a few cents; checking your whole competitive set (10-20 games) costs well under a dollar. Games that aren't flagged skip the (heavier) review-sampling step automatically, so you're not paying extra for good news.

Tips

• Run it on a schedule against your own App ID(s) to get an early warning the same week something goes wrong, not a month later.
• status: insufficient-data isn't an error — it means the game's review volume is too low (per-period) for the histogram trend to be statistically trustworthy. This is expected for very small or very old back-catalog titles.
• Steam's own "Overwhelmingly Positive → Overwhelmingly Negative" label reflects all-time history and can stay green for weeks after a real decline starts — that lag is exactly what this tool is built to catch earlier.

FAQ

Does this scrape anything private? No — it only calls Steam's own public storefront endpoints (the same data your browser loads on any store page), no login or private data involved.

Can I check a game I don't own/publish? Yes, any public App ID works — useful for competitive research, not just self-monitoring.

Found an issue or want a feature (e.g. non-English language support)? Open an issue on the Actor's Issues tab.